Emotional Information Space in Designing AI Technologies
Silvennoinen, J., & Saariluoma, P. (2022). Emotional Information Space in Designing AI Technologies. In T. Ahram, W. Karwowski, P. Di Bucchianico, R. Taiar, L. Casarotto, & P. Costa (Eds.), Intelligent Human Systems Integration (IHSI 2022) : Integrating People and Intelligent Systems. Proceedings of the 5th International Conference on Intelligent Human Systems Integration. AHFE international. AHFE international, 22/2022. https://doi.org/10.54941/ahfe1001057
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AHFE internationalEditors
Date
2022Discipline
KognitiotiedeKoulutusteknologia ja kognitiotiedeMultiobjective Optimization GroupResurssiviisausyhteisöCognitive ScienceLearning and Cognitive SciencesMultiobjective Optimization GroupSchool of Resource WisdomCopyright
© 2022 the Authors
Current and future AI design needs to recognize the intertwined nature of cognition and affect to design more human-like intelligent systems. The majority of current AI design focuses on cognitive information processes and knowledge. However, human action and human-like actions must also consider the emotional aspects of the environment. We present the concept of emotional information space, which incorporates all issues within a certain environment with cognitively appraised affective meanings and the ability to encode these information contents into designing emotionally intelligent technologies.
Publisher
AHFE internationalParent publication ISBN
978-1-7923-8988-7Conference
International Conference on Intelligent Human Systems Integration, IHSIIs part of publication
Intelligent Human Systems Integration (IHSI 2022) : Integrating People and Intelligent Systems. Proceedings of the 5th International Conference on Intelligent Human Systems IntegrationISSN Search the Publication Forum
2771-0718Keywords
Publication in research information system
https://converis.jyu.fi/converis/portal/detail/Publication/119016865
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Related funder(s)
Research Council of FinlandFunding program(s)
Strategic research programmes, AoFAdditional information about funding
This work has been supported by The Academy of Finland through STN Etairos -project.License
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